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News Readers' Perception of Clickbait News

Authors: Karaca, Anıl; Yanardağoğlu, Eylem;

News Readers' Perception of Clickbait News

Abstract

This thesis is aimed to reveal the impact of the clickbait content to online news readers. Study focuses on the readers' perception of the clickbait and analyzes their behavior to these content and examines how they interact with these news. To understand these effects, study has three research sections made of interviews and survey analysis. First part is an online, quantitative survey research. Attendees answer questions regarding their habits of consuming news, the mediums they use to consume news and their perception of clickbait content. On the second, qualitative part of the research, attendees who also participated the previous survey explain their interaction with clickbait content via open ended answers. In the last part, which includes the results of the interviews, two digital news outlet executives and an anti-clickbait initiative manager share their experiences with the clickbait content and commentate on the background process of the creation of these content. By scrutinising the environment of digital news and online news readers' remarks, this thesis offers a perspective of the clickbait awareness in Turkish news reader audience and how they interact with these type of content.

Country
Turkey
Related Organizations
Keywords

effect of clickbait headlines to readers, Journalism, social media, Haber Kaynakları, Haberler, digital news, dijital habercilik, Algı, tık tuzağı başlıklar, clickbait, Online Newspapers, clickbait journalism, Gazetecilik, Communication Sciences, News Sources, Algı Yönetimi, İletişim Bilimleri, Perception Management, NEWS, yeni medya, clickbait headlines, Tıklama Tuzağı, Sanal Gazeteler, sosyal medya, Perception, tık tuzağı, new media, Click Bait, News Texts, tık tuzağı başlıkların okuyucuya etkisi, Haber Metinleri, tık odaklı habercilik

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green